Ge Liu
Assistant Professor
Develops machine learning methods for biology, including generative models for protein and molecule design.
Ge Liu's lab at UIUC works on proteins, drugs & materials, genomics & computational biology and generative & foundation models. 16 papers since 2023, 10 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 63%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 6 papers2025 · T1 6
- 5 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, NeurIPS, AISTATS, CVPR
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials2 papers
- Generative & foundation models1 paper
- Genomics & computational biology0 papers
- molecule0 papers
- molecule design0 papers
Paper list
From the lab homepage.
20264 papers
- ICLR (T1)h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
- ICLR (T1)Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
- International Conference on Learning Representations (ICLR (Oral))mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
- CVPR (T1)R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
20256 papers
- NeurIPS (T1)Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
- ICLR (T1)Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
- ICLR (T1)Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
- NeurIPS (T1)Riemannian Consistency Model
- ICLR (T1)Training Free Guided Flow Matching with Optimal Control
- NeurIPS (T1)Variational Supervised Contrastive Learning
20245 papers
- Advances in Neural Information Processing Systems (NeurIPS )Categorical Flow Matching on Statistical Manifolds
- Nature BiotechnologyMultistate and functional protein design using RoseTTAFold sequence space diffusion
- Advances in Neural Information Processing Systems (NeurIPS )Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
- Advances in Neural Information Processing Systems (NeurIPS )Optimal design for human preference elicitation
- AISTATS (T1)Pessimistic Off-Policy Multi-Objective Optimization
20231 paper
- Frontiers in ImmunologyA pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
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